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Adaptive Partial Task Offloading and Virtual Resource Placement in SDN/NFV-Based Network Softwarization

Computer Systems Science & Engineering 2023年第5期45卷 2141-2154页

作者： Prohim tam Sa Math Seokhoon Kim Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea

Edge intelligence brings the deployment of applied deep learning(DL)models in edge computing systems to alleviate the core backbone network *** setup of programmable software-defined networking(SDN)control and elastic virtual computing resources within network functions virtualization(NFV)are cooperative for enhancing the applicability of intelligent edge *** offer advancement for multi-dimensional model task offloading in edge networks with SDN/NFV-based control softwarization,this study proposes a DL mechanism to recommend the optimal edge node selection with primary features of congestion windows,link delays,and allocatable bandwidth *** partial task offloading policy considered the DL-based recommendation to modify efficient virtual resource placement for minimizing the completion time and termination drop *** optimization problem of resource placement is tackled by a deep reinforcement learning(DRL)-based policy following the Markov decision process(MDP).The agent observes the state spaces and applies value-maximized action of available computation resources and adjustable resource allocation *** reward formulation primarily considers taskrequired computing resources and action-applied allocation *** defined policies of resource determination,the orchestration procedure is configured within each virtual network function(VNF)descriptor using topology and orchestration specification for cloud applications(TOSCA)by specifying the allocated *** simulation for the control rule installation is conducted using Mininet and Ryu SDN *** delay and task delivery/drop ratios are used as the key performance metrics.

关键词： Deep learning partial task offloading software-defined networking virtual machine virtual network functions

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Tribological Behavior of 15# Aviation Hydraulic Oil

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Mocaxue Xuebao/Tribology 2024年第8期44卷 1136-1150页

作者： Zhao H. Shan L. Cao H. Wen X. Wei P. Bai P. Meng y. Tian y. State Key Laboratory of Tribology in Advanced Equipment Tsinghua University Beijing 100084 China AVIC Xi’an Flight Automatic Control Research Institute Shaanxi Xi’an 710069 China

15# aviation hydraulic oil as a specific type of hydraulic oil has been widely applied in aviation field. In this paper, viscosity-temperature curve of 15# aviation hydraulic oil was measured utilizing MCR302 rheometer. Investigating the effects of varying operational parameters, a methodical single-factor analysis was conducted. A four-ball tester, equipped with high-grade GCr15 steel balls, provided a rigorous examination of the oil's tribological behavior under different loads, temperatures, and sliding speeds. This analysis was crucial for understanding how each factor independently impacted the friction and wear properties of the hydraulic oil. To elucidate the underlying mechanisms of wear observed under these conditions, a multi-technique approach was adopted for surface analysis. Wear scars were meticulously examined with an optical microscope, which offered a clear initial assessment of the surface topography. For more in-depth analysis, a scanning electron microscope (SEM) provided high-resolution imaging to reveal microstructural details. A white-light interferometer allowed for precise measurements of the wear scar volumes, offering quantitative data on the extent of material removal. Additionally, an X-ray photoelectron spectroscopy (XPS) analysis was employed to identify any chemical alterations on the worn surfaces. The experimental results were revealing. Under increasing load conditions, the 15# aviation hydraulic oil maintained a relatively consistent friction coefficient. However, the physical dimensions of wear scars —both their radius and depth —intensified, suggesting a higher material removal rate. This phenomenon indicated that while the oil maintains stable friction, its wear protection capabilities were compromised under heavy loading. In experiments with high loads, the dissipated energy required for plastic deformation and the creation of new interfaces within the work of friction increases compared to experiments with low loads. This res

关键词： 15# aviation hydraulic oil four-ball tribometer friction load speed temperature wear

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Treatment of Prostatorectal Fistula by Transanorectal Route: About an Observation

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Open Journal of Urology 2024年第4期14卷 262-266页

作者： Mohamed Mahmoud Beya Ahmed Salem Terouzi y. Tfeil Diagana Mouhamadou Urology Department Cheikh Zayed Hospital Nouakchott Mauritania

This is a 54-year-old patient admitted for the management of urinary leakage through the anus that had been occurring for a month, in whom the diagnosis of a prostatorectal fistula was made. The fistula was successful... 详细信息

关键词： Fistula Prostate Rectum york Masson

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基于MRI的自动化多任务深度学习系统评估冈上肌腱损伤

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国际医学放射学杂志 2024年第4期 499-500页

作者： M.Ni y.Q.Zhao L.H.Zhang W.Chen Q.Z.Wang C.y.Tian 常雪

摘要目的建立一个自动化、多任务、基于MRI的深度学习系统，用于精细评估冈上肌腱（SST）损伤。方法根据关节镜检查结果，将3 087例病人分为SST正常组、退变组和

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Identification of dual-rate sampled output-error systems with unknown time-delays and orders

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Kongzhi yu Juece/Control and Decision 2024年第9期39卷 3006-3012页

作者： Jiao F. Cao y.-Q. Xie L. School of Internet of Things Engineering Jiangnan University Wuxi 214122 China Wuxi Advance Technologies Inc. Wuxi 214161 China

An orthogonal matching pursuit iterative identification algorithm is proposed for dual-rate sampled output-error systems with unknown time-delays and orders based on finite number of sampled data. Firstly, the identification model of the target system is established based on the dual-rate sampled data. Secondly, considering the input time-delay and the system order are both unknown, by means of the overparameterization method and taking the regression items of the noise-free output data and that of the input data as sufficient length, a sparse system is derived and its sparsity is the number of parameters to be identified. Furthermore, the idea of auxiliary model and the sparse recovery method in compressed sensing are combined for interactive estimation of the parameter vector and the noise-free outputs, where the parameter vector is estimated by using the orthogonal matching pursuit algorithm, the auxiliary model is constructed based on which and then the noise-free outputs are calculated accordingly and applied in turn for updating the parameter vector. Finally, the system order and the input time-delay are calculated according to the structure of the obtained parameter vector. The simulation experiments verify that the proposed algorithm can provide accurate joint estimation of system parameters, time-delay and order based on small amounts of sampled data. © 2024 Northeast University. All rights reserved.

关键词： auxiliary model dual-rate sampled system order estimation orthogonal matching pursuit parameter identification time-delay estimation

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Nav1.7调节软骨细胞并作为骨关节炎的治疗靶点

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中国疼痛医学杂志 2024年第6期30卷 404-406页

作者： Fu W Vasylyev D Bi y 戈家宜(译) 刘兴君(校) 不详南通大学药学院

骨关节炎(osteoarthritis,OA)是常见的关节疾病。目前还没有能够同时防止关节退化和减少疼痛的治疗方法。有证据表明软骨细胞中存在电压门控钠通道(voltage gated sodium channels,VGSCs),但它们在软骨细胞和OA中的表达和功能仍不清楚... 详细信息

骨关节炎(osteoarthritis,OA)是常见的关节疾病。目前还没有能够同时防止关节退化和减少疼痛的治疗方法。有证据表明软骨细胞中存在电压门控钠通道(voltage gated sodium channels,VGSCs),但它们在软骨细胞和OA中的表达和功能仍不清楚。该研究发现,Nav1.7作为一个与OA相关的VGSCs,人OA软骨细胞以0.1~0.15个/μm2和350~525个通道/细胞的密度表达功能性Nav1.7。在通过基因操作抑制Nav1.7的一系列小鼠模型上发现,表达在背根神经节(dorsal root ganglion,DRG)神经元中的Nav1.7参与疼痛的调控,而表达在软骨细胞中的Nav1.7调节OA进程。使用选择性或临床常用的泛Nav通道阻断剂,可显著改善结构性关节损伤,并减轻OA疼痛。Nav1.7阻断剂调节细胞内Ca2+信号和软骨细胞的分泌组,进而影响软骨细胞生物学和OA进程。该研究证实,Nav1.7为一个新发现的、在软骨细胞表达的OA相关VGSCs,可作为具有双重靶点特性的用于治疗OA和镇痛的非阿片类镇痛药。

关键词：骨关节炎软骨细胞关节疾病基因操作背根神经节治疗靶点关节损伤电压门控钠通道

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Revealing Double White Dwarf Mergers with Multi-messenger Signals

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Research in Astronomy and Astrophysics 2022年第10期22卷 148-157页

作者： He-Wen yang Pak-Hin Thomas tam Lili yang School of Physics and Astronomy Sun Yat-sen UniversityZhuhai 519082China CSST Science Center for the Guangdong-Hong Kong-Macao Greater Bay Area Sun Yat-Sen UniversityZhuhai 519082Chin

A significant number of double white dwarfs(DWDs)are believed to merge within the Hubble time due to the gravitational wave(GW)emission during their inspiraling *** outcome of a DWD system is either a type Ia Supernova as the double-degenerate model,or a massive,long-lasting merger *** multi-messenger signals of these events will help us to distinguish detailed merging physical *** this work,we aim to provide a generic scenario of DWD merging,investigate the emission of all major messengers,with a focus on GWs and *** goal is to provide some guidance for current and future(collaborative)efforts of multimessenger *** the merging evolution of a DWD system,different messengers(GW,neutrino and electromagnetic wave)will dominate at different *** this work,we show that DWD merger events located at the distance of 1 kpc can indeed produce detectable signals of GWs and *** GW frequency is in 0.3–0.6 Hz band around 10 days before tidal disruption *** estimate that in optimistic situations,the neutrino number detected by upcoming detectors such as JUNO and Hyper-Kamiokande can reach O(1)for a DWD merging event at~1 kpc.

关键词： (stars:)white dwarfs-(stars:)binaries(including multiple) close-neutrinos-gravitational waves

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Outcomes of combined mitochondria and mesenchymal stem cellsderived exosome therapy in rat acute respiratory distress syndrome and sepsis

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World Journal of Stem Cells 2024年第6期16卷 690-707页

作者： Kun-Chen Lin Wen-Feng Fang Jui-Ning yeh John y Chiang Hsin-Ju Chiang Pei-Lin Shao Pei-Hsun Sung Hon-Kan yip Department of Anesthesiology Kaohsiung Chang Gung Memorial HospitalKaohsiung 83301TaiwanChina Division of Pulmonary and Critical Care Medicine Department of Internal MedicineKaohsiung Chang Gung Memorial HospitalChang Gung University College of MedicineKaohsiung 83301TaiwanChina Department of Cardiology The First Affiliated Hospital of Jinan UniversityGuangzhou 510630Guangdong ProvinceChina Department of Computer Science and Engineering National Sun Yat-sen UniversityKaohsiung 804201TaiwanChina Department of Healthcare Administration and Medical Informatics Kaohsiung Medical UniversityKaohsiung 80708TaiwanChina School of Medicine Chung Shan Medical UniversityTaichung 40201TaiwanChina Department of Nursing Asia UniversityTaichung 41354TaiwanChina Division of Cardiology Department of Internal MedicineKaohsiung Chang Gung Memorial Hospital and Chang Gung University College of MedicineKaohsiung 83301TaiwanChina Institute for Translational Research in Biomedicine Kaohsiung Chang Gung Memorial HospitalKaohsiung 83301TaiwanChina Center for Shockwave Medicine and Tissue Engineering Kaohsiung Chang Gung Memorial HospitalKaohsiung 83301TaiwanChina Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung 40402TaiwanChina School of Medicine College of MedicineChang Gung UniversityTaoyuan 33302TaiwanChina

BACKGROUND The treatment of acute respiratory distress syndrome(ARDS)complicated by sepsis syndrome(SS)remains *** To investigate whether combined adipose-derived mesenchymal-stem-cells(ADMSCs)-derived exosome(EXAD)and exogenous mitochondria(mitoEx)protect the lung from ARDS complicated by *** In vitro study,including L2 cells treated with lipopolysaccharide(LPS)and in vivo study including male-adult-SD rats categorized into groups 1(sham-operated-control),2(ARDS-SS),3(ARDS-SS+EXAD),4(ARDS-SS+mitoEx),and 5(ARDS-SS+EXAD+mitoEx),were included in the present *** In vitro study showed an abundance of mitoEx found in recipient-L2 cells,resulting in significantly higher mitochondrial-cytochrome-C,adenosine triphosphate and relative mitochondrial DNA levels(Py(ADP-ribose)polymerase)]were significantly attenuated in lipopolysaccharide(LPS)-treated L2 cells with EXAD treatment than without EXAD treatment,whereas the protein expressions of cellular junctions[occluding/β-catenin/zonula occludens(ZO)-1/E-cadherin]exhibited an opposite pattern of inflam-mation(all Py 72 h post-48 h-ARDS induction,and lung tissues were *** 72 h,flow cytometric analysis of bronchoalveolar lavage fluid demonstrated that the levels of inflam-matory cells(Ly6G+/CD14+/CD68+/CD11b/c+/myeloperoxidase+)and albumin were lowest in group 1,highest in group 2,and significantly higher in groups 3 and 4 than in group 5(all Pygen-saturation(SaO2%)displayed an opposite pattern of albumin among the *** findings of lung injury/fibrosis area and inflammatory/DNA-damaged markers(CD68+/γ-H2AX)displayed an identical pattern of SaO2%among the groups(all P<0.0001).The pro

关键词： Acute respiratory distress syndrome Sepsis syndrome Exosomes Mitochondria Adipose tissue-derived mesenchymal stem cells Inflammation

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Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT

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Computers, Materials & Continua 2022年第5期71卷 3319-3335页

作者： Prohim tam Sa Math Ahyoung Lee Seokhoon Kim Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Science Kennesaw State UniversityMariettaGA 30060USA Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea

Federated learning(FL)activates distributed on-device computation techniques to model a better algorithm performance with the interaction of local model updates and global model distributions in aggregation averaging ***,in large-scale heterogeneous Internet of Things(IoT)cellular networks,massive multi-dimensional model update iterations and resource-constrained computation are challenging aspects to be tackled *** paper introduces the system model of converging softwaredefined networking(SDN)and network functions virtualization(NFV)to enable device/resource abstractions and provide NFV-enabled edge FL(eFL)aggregation servers for advancing automation and ***-agent deep Q-networks(MADQNs)target to enforce a self-learning softwarization,optimize resource allocation policies,and advocate computation offloading *** gathered network conditions and resource states,the proposed agent aims to explore various actions for estimating expected longterm rewards in a particular state *** exploration phase,optimal actions for joint resource allocation and offloading decisions in different possible states are obtained by maximum Q-value ***-based virtual network functions(VNF)forwarding graph(VNFFG)is orchestrated to map VNFs towards eFL aggregation server with sufficient communication and computation resources in NFV infrastructure(NFVI).The proposed scheme indicates deficient allocation actions,modifies the VNF backup instances,and reallocates the virtual resource for exploitation *** neural network(DNN)is used as a value function approximator,and epsilongreedy algorithm balances exploration and *** scheme primarily considers the criticalities of FL model services and congestion states to optimize long-term *** results presented the outperformance of the proposed scheme over reference schemes in terms of Quality of Service(QoS)performance metrics,including packet

关键词： Deep Q-networks federated learning network functions virtualization quality of service software-defined networking

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Intelligent Resource Allocations for Software-Defined Mission-Critical IoT Services

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Computers, Materials & Continua 2022年第11期73卷 4087-4102页

作者： Chaebeen Nam Sa Math Prohim tam Seokhoon Kim Department of Software Convergence Soonchunhyang UniversityAsan31538Korea Department of Computer Software Engineering Soonchunhyang UniversityAsan31538Korea

Heterogeneous Internet of Things(IoT)applications generate a diversity of novelty applications and services in next-generation networks(NGN),which is essential to guarantee end-to-end(E2E)communication resources for both control plane(CP)and data plane(DP).Likewise,the heterogeneous 5th generation(5G)communication applications,including Mobile Broadband Communications(MBBC),massive Machine-Type Commutation(mMTC),and ultra-reliable low latency communications(URLLC),obligate to perform intelligent Quality-of-Service(QoS)Class Identifier(QCI),while the CP entities will be suffered from the complicated massive HIOT ***,the existing management and orchestration(MANO)models are inappropriate for resource utilization and allocation in large-scale and complicated network *** cope with the issues mentioned above,this paper presents an adopted software-defined mobile edge computing(SDMEC)with a lightweight machine learning(ML)algorithm,namely support vector machine(SVM),to enable intelligent MANO for real-time and resource-constraints IoT applications which require lightweight computation ***,the SVM algorithm plays an essential role in performing QCI ***,the software-defined networking(SDN)controller allocates and configures priority resources according to the SVM classification ***,the complementary of SVM and SDMEC conducts intelligent resource MANO for massive QCI environments and meets the perspectives of mission-critical communication with resource constraint *** on the E2E experimentation metrics,the proposed scheme shows remarkable outperformance in key performance indicator(KPI)QoS,including communication reliability,latency,and communication throughput over the various powerful reference methods.

关键词： Mobile edge computing Internet of Things software defined networks traffic classification machine learning resource allocation

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